Research output per year
Research output per year
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ASSISTANT PROFESSOR | Pharmacological Sciences
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Dive into the research topics where Davide Provasi is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Fine-Tuned Deep Transfer Learning Models for Large Screenings of Safer Drugs Targeting Class A GPCRs
Provasi, D. & Filizola, M., 18 Mar 2025, In: Biochemistry. 64, 6, p. 1328-1337 10 p.Research output: Contribution to journal › Article › peer-review
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Structural basis for saxitoxin congener binding and neutralization by anuran saxiphilins
Zakrzewska, S., Nixon, S. A., Chen, Z., Hajare, H. S., Park, E. R., Mulcahy, J. V., Arlinghaus, K. M., Neu, E., Konovalov, K., Provasi, D., Leighfield, T. A., Filizola, M., Du Bois, J. & Minor, D. L., Dec 2025, In: Nature Communications. 16, 1, 3885.Research output: Contribution to journal › Article › peer-review
Open Access -
Synthesis and Characterization of Photoswitchable Covalent Ligands for the β2-Adrenoceptor
Wirth, U., Neu, E., Provasi, D., Feustel, S., Schmidt, M. F., Hübner, H., Weikert, D., Filizola, M., König, B. & Gmeiner, P., 2025, (Accepted/In press) In: Angewandte Chemie - International Edition.Research output: Contribution to journal › Article › peer-review
Open Access -
Elucidating the molecular logic of a metabotropic glutamate receptor heterodimer
Lin, X., Provasi, D., Niswender, C. M., Asher, W. B. & Javitch, J. A., 3 Oct 2024, In: Nature Communications. 15, 1, p. 8552 1 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Structural insights into the unexpected agonism of tetracyclic antidepressants at serotonin receptors 5-HT1eR and 5-HT1FR
Zilberg, G., Parpounas, A. K., Warren, A. L., Fiorillo, B., Provasi, D., Filizola, M. & Wacker, D., Apr 2024, In: Science advances. 10, 16, eadk4855.Research output: Contribution to journal › Article › peer-review
Open Access
Press/Media
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Findings from Icahn School of Medicine at Mount Sinai in Opioids Reported (De Novo Design of & Kappa;-opioid Receptor Antagonists Using a Generative Deep-learning Framework)
Filizola, M., Provasi, D., Kaniskan, Ü. & Jin, J.
13/09/23
1 item of Media coverage
Press/Media